Full Size & Low Dimensional gVLAD Descriptors:
We compared our proposed method with several benchmark results in [1]}, [2]}, [3]}, [4]} for both full size descriptor and dimension reduced descriptor (\(\rho =128\) ). Experiments are done using both Holidays dataset and Oxford 5K dataset. Table REF  shows that the proposed approach significantly outperforms the state-of-the-art performance by approximately \(16.6\%\)  and \(7\%\)  on Holidays and Oxford 5K dataset respectively. For low dimensional case, as shown in Table REF , our algorithm outperforms the best state-of-art result by \(15\%\)  on both datasets.
